In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …

Object detection is the task of detecting instances of particular classes in an image. The You
Only Look Once (YOLO) object detection algorithms have become popular in recent years …

Deep learning has shown considerable promise in medical image analysis, but significant
challenges remain. These stem from the inherent complexities of medical images, such as …

This study aims to determine the misconceptions of teacher candidates about the
greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human …

Precise and timely diagnosis of Covid-19 and pneumonia is crucial for effective treatment.
However, the traditional RT-PCR method is time-consuming, costly, and prone to incorrect …

Accurate classification of bone fractures from medical images plays a crucial role in effective
treatment and patient care, particularly in the case of wrist X-rays. However, the limited …

Symbol detection methods for Piping and Instrumentation Diagram (P &ID) have been
continuously developed over the past few decades, evolving from traditional methods to …

Image classification has become one of the most common applications of machine learning
in daily routine. The most recent advancement in machine learning has resulted in many …

Accurate and timely detection of lung cancer is crucial for effective treatment planning. This
study introduces MobileNetV2-SGRU, a novel transfer learning-based predictor for lung …

Leukemia, a life-threatening disease primarily affecting children below 15 and individuals
aged 55 and above, is characterized by the overproduction of abnormal blood cells. Timely …